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Riemann sums for double integrals practice problems

Estimate a double integral with a midpoint (or corner) Riemann sum on a grid of subrectangles. 60 problems with worked solutions; in 60 of them every equation is proved by a computer algebra system.

10 worked problems

Try each one before opening the solution. Every line is labeled with what checked it. How we verify

Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
  1. \[ 1 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = \frac{1}{2} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (0, 0), (0, 1), (1/2, 0), (1/2, 1).
    Reviewed
  3. \[ 1 \cdot \frac{1}{2} \cdot 1 \left(0 + 1 \cdot \frac{1}{4} + 1 + \frac{5}{4}\right) = \frac{5}{4} \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{2}\int\limits_{0}^{1} \left(x^{2} + y\right)\, dx\, dy = \frac{8}{3} \]
    For comparison, the exact value is 8/3.✓ Proved
Answer \( \frac{5}{4} \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
  1. \[ 1 \cdot \frac{1}{2} \cdot 4 \cdot \frac{1}{2} = 1 \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (1, 1/4), (1, 3/4), (3, 1/4), (3, 3/4).
    Reviewed
  3. \[ 2 \cdot 1 \cdot \frac{1}{2} \left(\frac{5}{4} + \frac{7}{4} + \frac{13}{4} + \frac{15}{4}\right) = 10 \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{4} \left(x + y\right)\, dx\, dy = 10 \]
    For comparison, the exact value is 10.✓ Proved
Answer \( 10 \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
  1. \[ 1 \cdot \frac{1}{2} \cdot 1 \cdot \frac{1}{2} = \frac{1}{4} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (1/4, 1/4), (1/4, 3/4), (3/4, 1/4), (3/4, 3/4).
    Reviewed
  3. \[ 1 \cdot \frac{1}{2} \cdot 1 \cdot \frac{1}{2} \left(\frac{5}{16} + \frac{13}{16} + \frac{13}{16} + \frac{21}{16}\right) = \frac{13}{16} \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{1} \left(x^{2} + y\right)\, dx\, dy = \frac{5}{6} \]
    For comparison, the exact value is 5/6.✓ Proved
Answer \( \frac{13}{16} \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
  1. \[ 1 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = \frac{1}{2} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (0, 0), (0, 1), (1/2, 0), (1/2, 1).
    Reviewed
  3. \[ 1 \cdot \frac{1}{2} \cdot 1 \left(0 + 2 + 2 + 8\right) = 6 \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{2}\int\limits_{0}^{1} \left(8 x y + 4 x + 2 y\right)\, dx\, dy = 16 \]
    For comparison, the exact value is 16.✓ Proved
Answer \( 6 \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
  1. \[ 1 \cdot \frac{1}{2} \cdot 1 \cdot \frac{1}{2} = \frac{1}{4} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (0, 0), (0, 1/2), (1/2, 0), (1/2, 1/2).
    Reviewed
  3. \[ 1 \cdot \frac{1}{2} \cdot 1 \cdot \frac{1}{2} \left(\frac{19}{4} + 5 + \frac{25}{4} + \frac{13}{2}\right) = \frac{45}{8} \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{1} \left(3 x - y^{2} + 5\right)\, dx\, dy = \frac{37}{6} \]
    For comparison, the exact value is 37/6.✓ Proved
Answer \( \frac{45}{8} \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
  1. \[ 1 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = \frac{1}{2} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (1/2, 1/4), (1/2, 3/4), (3/2, 1/4), (3/2, 3/4).
    Reviewed
  3. \[ 1 \cdot 1 \cdot \frac{1}{2} \left(\frac{9}{8} + \frac{11}{8} + \frac{11}{8} + \frac{17}{8}\right) = 3 \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{2} \left(x y + 1\right)\, dx\, dy = 3 \]
    For comparison, the exact value is 3.✓ Proved
Answer \( 3 \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
  1. \[ 2 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = 1 \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (0, 0), (0, 1), (1, 0), (1, 1).
    Reviewed
  3. \[ 1 \cdot 1 \left(1 + 1 + 1 + 2\right) = 5 \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{2}\int\limits_{0}^{2} \left(x y + 1\right)\, dx\, dy = 8 \]
    For comparison, the exact value is 8.✓ Proved
Answer \( 5 \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
  1. \[ 1 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = \frac{1}{2} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (1/2, 1/4), (1/2, 3/4), (3/2, 1/4), (3/2, 3/4).
    Reviewed
  3. \[ 1 \cdot 1 \cdot \frac{1}{2} \left(\frac{7}{2} + \frac{13}{2} + \frac{19}{2} + \frac{33}{2}\right) = 18 \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{2} \left(8 x y + 4 x + 2 y\right)\, dx\, dy = 18 \]
    For comparison, the exact value is 18.✓ Proved
Answer \( 18 \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
  1. \[ 1 \cdot \frac{1}{2} \cdot 1 \cdot \frac{1}{4} = \frac{1}{8} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (1/8, 1/4), (1/8, 3/4), (3/8, 1/4), (3/8, 3/4), (5/8, 1/4), (5/8, 3/4), (7/8, 1/4), (7/8, 3/4).
    Reviewed
  3. \[ 1 \cdot \frac{1}{4} \cdot 1 \cdot \frac{1}{2} \left(\frac{77}{16} + \frac{85}{16} + \frac{89}{16} + \frac{97}{16} + \frac{101}{16} + \frac{109}{16} + \frac{113}{16} + \frac{121}{16}\right) = \frac{99}{16} \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{1} \left(3 x - y^{2} + 5\right)\, dx\, dy = \frac{37}{6} \]
    For comparison, the exact value is 37/6.✓ Proved
Answer \( \frac{99}{16} \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
  1. \[ 1 \cdot \frac{1}{2} \cdot 2 \cdot \frac{1}{2} = \frac{1}{2} \]
    ΔA = Δx Δy.✓ Proved
  2. The sample points: (0, 0), (0, 1/2), (1, 0), (1, 1/2).
    Reviewed
  3. \[ 1 \cdot 1 \cdot \frac{1}{2} \left(0 + 1 \cdot \frac{1}{2} + 1 + \frac{3}{2}\right) = \frac{3}{2} \]
    ΔA times the sum of f at the sample points.✓ Proved
  4. \[ \int\limits_{0}^{1}\int\limits_{0}^{2} \left(x + y\right)\, dx\, dy = 3 \]
    For comparison, the exact value is 3.✓ Proved
Answer \( \frac{3}{2} \)

✓ Nihil obstat Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. The full receipt · How we verify

More riemann sums for double integrals practice

Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.388medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.389medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.390medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.394medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.396medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.397medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.399medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.400medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.442medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.443medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.444medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.445medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.446medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.447medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.448medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.451medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.452medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.453medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.454medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.455medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.456medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.457medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.458medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.459medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.460medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.461medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.462medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.464medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.465medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.466medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.517medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.518medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.519medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.520medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.521medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.522medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.523medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.524medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.525medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.526medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.547medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 4] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.548medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 1] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.549medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x y + 1 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.550medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 1] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.551medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.552medium✓ Every equation proved
Estimate \( \displaystyle \iint_R x^{2} + y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.553medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 2] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 4 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.554medium✓ Every equation proved
Estimate \( \displaystyle \iint_R 8 x y + 4 x + 2 y \, dA \) over \( \displaystyle R = [0, 4] \times [0, 1] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the midpoint points.
Problem 11.555medium✓ Nihil obstat
Estimate \( \displaystyle \iint_R 3 x - y^{2} + 5 \, dA \) over \( \displaystyle R = [0, 2] \times [0, 2] \) with a Riemann sum, \( \displaystyle m = 2 \) subintervals in \( \displaystyle x \) and \( \displaystyle n = 2 \) in \( \displaystyle y \), sampling at the lower left corners.
Problem 11.556medium✓ Nihil obstat